The invention discloses an
airplane target classification method based on
time domain correlation characteristics, and relates to the technical field of
radar. The method includes the steps that firstly, a training sample
peak value function is calculated; secondly, the variance, the entropy, the number of peaks with the values larger than a first training
peak value threshold and a
time domain point corresponding to the first peak with the value larger than a second training
peak value threshold of the training sample peak value function are calculated; thirdly, the amplitude variance and the amplitude entropy of training samples are calculated; fourthly, training sample characteristic vectors are normalized, and a classifier is trained; fifthly, a
test sample peak value function is calculated; sixthly, the variance, the entropy, the number of peaks with the values larger than a first test peak value threshold and a
time domain point corresponding to the first peak with the value larger than a second test peak value threshold of the
test sample peak value function are calculated; seventhly, the amplitude variance and the amplitude entropy of test samples are calculated; eighthly,
test sample characteristic vectors are normalized and input into the classifier for class judgment. The method has good advantages at low repetition frequency and can be used for classification of three classes of
airplane targets.